---
title: "Maximize AVCodex Capabilities — AVCodex Docs"
description: "Maximize AVCodex Capabilities — AVCodex documentation for AV integrators, programmers, and ops teams."
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---

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# Maximize AVCodex Capabilities

Last updated · MAR 2026 · [Read as Markdown](/docs/guides/maximize-avcodex-capabilities.md)

# How to Maximize AVCodex Capabilities

Get the most out of your AVCodex agents by mastering the features that matter most for AV teams.

* * *

## [How to use knowledge to optimize your AVCodex agents# ](#how-to-use-knowledge-to-optimize-your-avcodex-agents)

Your AVCodex agent is only as good as the knowledge behind it. Understanding how AI processes different types of knowledge is the foundation for building effective agents (whether that is a programmer help bot, a service desk agent, or a pre-sales RFP assistant).

There are three types of knowledge your agent can use:

1.  **Base model knowledge**: what the AI already knows from its training data.
2.  **Knowledge sources**: documents, files, and URLs you upload (manufacturer manuals, AS-builts, internal SOPs, programming guides).
3.  **Prompt instructions**: direct guidance you write in your system prompt.

Each one serves a different purpose. Master all three and your agent gets dramatically more useful.

### [The three types of knowledge# ](#the-three-types-of-knowledge)

The AI's base knowledge is broad but generic. It knows about the world. It does not know about \*your\* firm, \*your\* clients, \*your\* truck stock, \*your\* programming standards, or \*your\* specific install patterns.

That is where knowledge sources come in.

### [Why upload knowledge on top of the AI's existing knowledge# ](#why-upload-knowledge-on-top-of-the-ai-s-existing-knowledge)

Uploading your own knowledge sources gives your agent:

-   **Accuracy**: answers grounded in your actual content, not AI guesses.
-   **Specificity**: details about your gear, your manufacturer mix, your processes.
-   **Currency**: up-to-date information the base model does not have. New firmware, new manufacturer guides, new internal standards.
-   **Authority**: responses that reflect your firm's voice and engineering opinion.

The AI's training data has a cutoff date. Your knowledge sources do not. Upload your latest commissioning checklist and your agent stays current.

### [Knowledge source vs prompt: the technical difference# ](#knowledge-source-vs-prompt-the-technical-difference)

**Knowledge sources** are retrieved on demand. When a user asks a question, AVCodex searches your uploaded documents and pulls relevant chunks into context. This is RAG (Retrieval-Augmented Generation).

**Prompts** are always present. Your system prompt is included in every conversation, regardless of what the user asks.

Feature

Knowledge sources

Prompts

**When used**

Retrieved when relevant

Always included

**Best for**

Large amounts of reference content (full manufacturer manuals, every AS-built)

Personality, rules, behavior

**Size limit**

Large (many documents)

Small (a few thousand words)

**Updates**

Upload new files anytime

Edit in Build settings

**Rule of thumb.** Put facts and reference material in knowledge sources. Put personality, tone, and behavioral rules in your prompt.

* * *

## [How to update knowledge sources automatically# ](#how-to-update-knowledge-sources-automatically)

Use scheduled refetching to keep documents and crawled URLs current without thinking about it. A useful pattern: refetch your manufacturer help-site URLs weekly and your internal SOP repository on every commit. Watch the in-platform tutorial for the click path.

* * *

## [Difference between knowledge source and prompt# ](#difference-between-knowledge-source-and-prompt)

See the section above on Knowledge source vs prompt for the technical breakdown. The short version: knowledge sources scale, prompts steer behavior.

* * *

## [How to use Markdown to optimize your AVCodex agents# ](#how-to-use-markdown-to-optimize-your-avcodex-agents)

Mastering the basics of Markdown for both instructions and knowledge sources can make a real difference in accuracy and ease of editing.

### [What is Markdown# ](#what-is-markdown)

Markdown is a simple way to add formatting (bold, italics, lists, headings) to plain text. It is widely used in documentation and AI tools to make instructions clearer and more organized.

### [Why use Markdown in AI instructions# ](#why-use-markdown-in-ai-instructions)

-   **Clarity**: well-formatted instructions are easier for both humans and AI to follow.
-   **Emphasis**: you can highlight important steps or warnings (think safety language in commissioning instructions).
-   **Organization**: headings and lists break information into manageable sections.

### [Basic Markdown formatting# ](#basic-markdown-formatting)

A few easy ways to use Markdown:

**Headings.** Use `#` to tell your agent which sections belong where in the hierarchy. Heading 2 (`##`) sits under Heading 1 (`#`). Heading 3 (`###`) sits under both.

code 

```
# Main Section Title
## Section Title
### Subsection
#### Sub-subsection
```

**Bold and italic.**

-   **Bold** for important words.
-   \*Italic\* for emphasis.

**Lists.**

-   Step 1.
-   Step 2.
-   Step 3.

**Links.** If you want more examples of Markdown and HTML, the [Markdown Guide](https://www.markdownguide.org/basic-syntax) is a solid reference.

### [How to use Markdown in your AI instructions# ](#how-to-use-markdown-in-your-ai-instructions)

When you write instructions for your agent, use Markdown to:

-   Build step-by-step guides with clear sections and hierarchy (commissioning runbooks, troubleshooting trees).
-   Highlight key actions or warnings in bold.
-   Organize long instructions with headings.

**Example, plain instruction:**

Please collect tech feedback and send a confirmation message.

**Example, with Markdown:**

code 

```
## Collect Feedback
- Ask the tech for their feedback on the dispatch.
- **Confirm receipt** with the tech.
- Save the feedback for future service improvements.
```

Markdown helps your agent communicate more clearly. No code required.

* * *

## [How to share images and GIFs in your agent# ](#how-to-share-images-and-gifs-in-your-agent)

You can share images and GIFs as part of your agent's flow (visual install steps, photos of correctly terminated cable, animated rack walkthroughs). Use this when a picture is faster than a paragraph.

\*Video coming soon.\*

* * *

## [How to optimize video on AVCodex# ](#how-to-optimize-video-on-avcodex)

\*Content coming soon.\*

* * *

## [How to use video for research and feedback (YouTube, TikTok, Instagram)# ](#how-to-use-video-for-research-and-feedback-youtube-tiktok-instagram)

\*Content coming soon.\*

* * *

## [How to create image variations for social platforms# ](#how-to-create-image-variations-for-social-platforms)

You can use the image generation tool to create variations of the same image for different platforms or use cases (a wide rack photo for a case study page, a vertical version for social, a square one for an email header).

* * *

## [How to train a personalized programming curriculum agent# ](#how-to-train-a-personalized-programming-curriculum-agent)

You can structure an agent to take in information from a junior programmer (their experience level, the systems they want to learn) and produce a personalized lesson plan. Useful for new-hire onboarding at integrators and for cross-training existing programmers from Crestron SIMPL onto Q-SYS Lua.

* * *

## [How to create videos with AVCodex# ](#how-to-create-videos-with-avcodex)

You can create video using Gemini 2.5 inside AVCodex. Useful for room walkthrough videos, manufacturer comparison clips, or quick visual install guides.

\*AVCodex · Your AV expertise. Amplified by AI.\*

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Understanding Tokens

](/docs/guides/understanding-tokens)[

Next

How Knowledge Sources Work

](/docs/guides/how-knowledge-sources-work)

On this page

-   [How to use knowledge to optimize your AVCodex agents](#how-to-use-knowledge-to-optimize-your-avcodex-agents)
-   [The three types of knowledge](#the-three-types-of-knowledge)
-   [Why upload knowledge on top of the AI's existing knowledge](#why-upload-knowledge-on-top-of-the-ai-s-existing-knowledge)
-   [Knowledge source vs prompt: the technical difference](#knowledge-source-vs-prompt-the-technical-difference)
-   [How to update knowledge sources automatically](#how-to-update-knowledge-sources-automatically)
-   [Difference between knowledge source and prompt](#difference-between-knowledge-source-and-prompt)
-   [How to use Markdown to optimize your AVCodex agents](#how-to-use-markdown-to-optimize-your-avcodex-agents)
-   [What is Markdown](#what-is-markdown)
-   [Why use Markdown in AI instructions](#why-use-markdown-in-ai-instructions)
-   [Basic Markdown formatting](#basic-markdown-formatting)
-   [How to use Markdown in your AI instructions](#how-to-use-markdown-in-your-ai-instructions)
-   [How to share images and GIFs in your agent](#how-to-share-images-and-gifs-in-your-agent)
-   [How to optimize video on AVCodex](#how-to-optimize-video-on-avcodex)
-   [How to use video for research and feedback (YouTube, TikTok, Instagram)](#how-to-use-video-for-research-and-feedback-youtube-tiktok-instagram)
-   [How to create image variations for social platforms](#how-to-create-image-variations-for-social-platforms)
-   [How to train a personalized programming curriculum agent](#how-to-train-a-personalized-programming-curriculum-agent)
-   [How to create videos with AVCodex](#how-to-create-videos-with-avcodex)

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